Safety production supervision system and method based on video image intelligent sampling
A video image and safe production technology, applied in closed-circuit television systems, image communication, video data retrieval, etc., can solve the problems of low supervision efficiency, inability to accurately control and quantify supervision work, achieve quantifiable work, and realize network bandwidth Cost and Regulatory Benefits, Effects of Good Regulatory Efficiency
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Embodiment 1
[0076] This embodiment provides a safety production supervision system based on intelligent sampling of video images. According to the rules specified by the user, the video of each channel in the video surveillance system is captured periodically or irregularly according to certain rules to capture images or short videos for the user. query using, eg figure 1 The schematic diagram of the system structure shown includes:
[0077] The video image sampling policy management module S1 is used for setting and modifying video inspection and capture tasks. According to the responsibilities and business needs, the user selects the cameras that need attention in the video surveillance system, the frequency and time interval of capture, and the type of data to subscribe (including images or short videos), and can configure the duration of the short videos to be subscribed to generate videos Capture inspection tasks. Users can also modify and delete tasks through this module.
[0078...
Embodiment 2
[0098] The following describes how the sampling time series generation sub-module S21 in the sampling task scheduling module S2 generates a snapshot time series in conjunction with a specific application example.
[0099] There are the following cameras, A1~A5 are duty room cameras, B6~B15 are production site cameras, and C16~C20 are entrance and exit cameras. exist as Figure 6 Three capture tasks in:
[0100] Task 1: The task name is daily monitoring, the list of cameras to be captured by the task is A1~A5, B6~B15, C16~C20, the capture frequency is once every 20 minutes, and the capture time interval is Monday to Sunday 0:00~21: 59. The subscription data type is image;
[0101] Task 2: The task name is production monitoring, the list of cameras to be captured by the task is A1~A5, B10, the capture frequency is once every 10 minutes, the capture time range is Monday to Sunday 08:00~17:59, and the subscription data type is image;
[0102] Task 3: The task name is special o...
Embodiment 3
[0110] Such as image 3 As shown, according to the safety production supervision method based on video image intelligent sampling of the present invention, in fact, according to the safety production supervision business needs and organizational structure, the authority and responsibility of the safety production supervision personnel are determined, including the video surveillance system that each person needs to pay attention to The corresponding camera list and priority, the minimum frequency of supervision and the time range of attention in the corresponding camera list, and form the corresponding management norms. According to management specifications and the number of cameras, evaluate the effect that existing bandwidth resources can achieve, and appropriately expand the bandwidth of the back-end system if necessary. All safety production supervisors use the video image sampling policy management module to set sampling policy parameters according to management specific...
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